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301 Tue, 7/31/2012, 8:30 AM - 10:20 AM CC-Room 31C
Estimation and Computational Methods for Random Effects Models — Contributed Papers
IMS , Biometrics Section
Chair(s): Jin-Hong Park, College of Charleston
8:35 AM Regularized Empirical Bayes Estimation of Normal Means Wenhua Jiang
8:50 AM What Is REML? Christopher Gotwalt, SAS Institute
9:05 AM A Normal Hierarchical Model for Random Intervals Yan Sun, Utah State University ; Dan Ralescu, University of Cincinnati
9:20 AM Efficient Estimation of Link Function Parameters in a Robust Bayesian Binary Regression Model Vivekananda Roy, Iowa State University
9:35 AM Penalized Maximum Likelihood Methods in Process Estimation Zsolt Talata, University of Kansas
9:50 AM Boundedness of the Likelihood Function in Linear Structural Equation Models Christopher Fox, The University of Chicago ; Andreas Käufl, University of Augsburg ; Mathias Drton, The University of Chicago ; Guillaume Pouliot, The University of Chicago
10:05 AM Floor Discussion



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